NDLI: Data winnowing

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Evaluating online ad campaigns in a pipeline: causal models at scale

Discovery of significant emerging trends

Automatic malware categorization using cluster ensemble

Malstone: towards a benchmark for analytics on large data clouds

Mining advisor-advisee relationships from research publication networks

UP-Growth: an efficient algorithm for high utility itemset mining

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields

Versatile publishing for privacy preservation

Learning with cost intervals

Discovering significant relaxed order-preserving submatrices

k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining

Fast nearest-neighbor search in disk-resident graphs

Flexible constrained spectral clustering

Fast euclidean minimum spanning tree: algorithm, analysis, and applications

Discriminative topic modeling based on manifold learning

Combining predictions for accurate recommender systems

Learning to combine discriminative classifiers: confidence based

Semi-supervised feature selection for graph classification

Large linear classification when data cannot fit in memory

Fast query execution for retrieval models based on path-constrained random walks

PET: a statistical model for popular events tracking in social communities

Combined regression and ranking

Inferring networks of diffusion and influence

GLS-SOD: a generalized local statistical approach for spatial outlier detection

An efficient causal discovery algorithm for linear models

Unsupervised transfer classification: application to text categorization

The next generation of transportation systems,greenhouse emissions, and data mining

New developments in the theory of clustering

Mining medical data to improve patient outcomes

Data mining in the online services industry

Overlapping experiment infrastructure: more, better, faster experimentation

Data mining to predict and prevent errors in health insurance claims processing

Beyond heuristics: learning to classify vulnerabilities and predict exploits

TIARA: a visual exploratory text analytic system

Estimating rates of rare events with multiple hierarchies through scalable log-linear models

Frequent regular itemset mining

A scalable two-stage approach for a class of dimensionality reduction techniques

Privacy-preserving outsourcing support vector machines with random transformation

The new iris data: modular data generators

Topic dynamics: an alternative model of bursts in streams of topics

Collusion-resistant privacy-preserving data mining

Balanced allocation with succinct representation

A hierarchical information theoretic technique for the discovery of non linear alternative clusterings

Mining program workflow from interleaved traces

Online multiscale dynamic topic models

Fast online learning through offline initialization for time-sensitive recommendation

Mining positive and negative patterns for relevance feature discovery

Modeling relational events via latent classes

Class-specific error bounds for ensemble classifiers

Trust network inference for online rating data using generative models

The community-search problem and how to plan a successful cocktail party

Mass estimation and its applications

Scalable influence maximization for prevalent viral marketing in large-scale social networks

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora

Compressed fisher linear discriminant analysis: classification of randomly projected data

Nonnegative shared subspace learning and its application to social media retrieval

Temporal pattern mining in symbolic time point and time interval data

Modeling with networked data

Exploitation and exploration in a performance based contextual advertising system

Optimizing debt collections using constrained reinforcement learning

Diagnosing memory leaks using graph mining on heap dumps

Metric forensics: a multi-level approach for mining volatile graphs

User browsing models: relevance versus examination

Mining uncertain data with probabilistic guarantees

An efficient algorithm for a class of fused lasso problems

On the quality of inferring interests from social neighbors

Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance

Extracting temporal signatures for comprehending systems biology models

Data mining with differential privacy

Neighbor query friendly compression of social networks

Clustering by synchronization

Connecting the dots between news articles

Topic models with power-law using Pitman-Yor process

Training and testing of recommender systems on data missing not at random

Document clustering via dirichlet process mixture model with feature selection

On community outliers and their efficient detection in information networks

Designing efficient cascaded classifiers: tradeoff between accuracy and cost

An energy-efficient mobile recommender system

Growing a tree in the forest: constructing folksonomies by integrating structured metadata

Multi-label learning by exploiting label dependency

Community-based greedy algorithm for mining top-K influential nodes in mobile social networks

Online discovery and maintenance of time series motifs

Scalable similarity search with optimized kernel hashing

Learning incoherent sparse and low-rank patterns from multiple tasks

Learning through exploration

Discovering precursors to aviation safety incidents: from massive data to actionable information

The quantification of advertising: (+ lessons from building businesses based on large scale data mining)

MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system

Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors

Using data mining techniques to address critical information exchange needs in disaster affected public-private networks

Active learning for biomedical citation screening

Suggesting friends using the implicit social graph

Mining top-k frequent items in a data stream with flexible sliding windows

Unsupervised feature selection for multi-cluster data

DUST: a generalized notion of similarity between uncertain time series

Negative correlations in collaboration: concepts and algorithms

Discovering frequent patterns in sensitive data

Parallel SimRank computation on large graphs with iterative aggregation

Unifying dependent clustering and disparate clustering for non-homogeneous data

Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics

The topic-perspective model for social tagging systems

Temporal recommendation on graphs via long- and short-term preference fusion

Semantic relation extraction with kernels over typed dependency trees

Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface

Direct mining of discriminative patterns for classifying uncertain data

Mixture models for learning low-dimensional roles in high-dimensional data

A probabilistic model for personalized tag prediction

DivRank: the interplay of prestige and diversity in information networks

Social action tracking via noise tolerant time-varying factor graphs

Mining periodic behaviors for moving objects

Semi-supervised sparse metric learning using alternating linearization optimization

Multi-task learning for boosting with application to web search ranking

Geometric tools for graph mining of large social and information networks

Text mining to fast-track deserving disability applicants

Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study

Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning

An integrated machine learning approach to stroke prediction

New perspectives and methods in link prediction

Probably the best itemsets

Feature selection for support vector regression using probabilistic prediction

Cold start link prediction

Dynamics of conversations

Boosting with structure information in the functional space: an application to graph classification

Generative models for ticket resolution in expert networks

Latent aspect rating analysis on review text data: a rating regression approach

Ensemble pruning via individual contribution ordering

Towards mobility-based clustering

BioSnowball: automated population of Wikis

Finding effectors in social networks

Universal multi-dimensional scaling

Transfer metric learning by learning task relationships

Mining heterogeneous information networks

Medical coding classification by leveraging inter-code relationships

Recommender problems for web applications

Indexing and mining time sequences

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Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in